Engineer – Network Observability Platform and Automation

Position Title: Network Observability & Automation Engineer

Location: Dallas, TX; Austin, TX; Atlanta, GA; Boston, MA; Charlotte, NC; Chicago, IL; Houston, TX; Los Angeles, CA; Miami, FL; New York, NY; Northern Virginia (Ashburn, VA); Phoenix, AZ; Portland, OR; Seattle, WA; Silicon Valley, CA

Your Role

In this role, you will support the development of data‑driven visibility, monitoring, and analytics platforms across a large‑scale service provider network. This position is ideal for engineers with a strong systems and Linux foundation who also understand networking concepts and enjoy automating operational work using code.

You will work closely with experienced engineers to build dashboards, automate workflows, integrate telemetry sources, and enhance the organization’s overall network observability and automation capabilities. The role provides broad exposure to Linux‑based systems, virtualized environments, networking technologies, automation, and operational analytics.

What You’ll Do

Technical Architecture & Implementation

• Assist in deploying and improving monitoring dashboards using Splunk, ScienceLogic, IP Fabric, Grafana, or internal platforms.
• Support Linux‑based systems and virtualized platforms (VMware) that power observability, telemetry collection, and analytics pipelines.
• Help build and maintain backend services and internal portals that surface network and system insights.
• Integrate telemetry from network devices, APIs, logs, and databases into analytic workflows.
• Support multi‑vendor environments by validating monitoring and visibility coverage for Cisco, Juniper, Arista, and Fortinet devices.

Automation & Platform Engineering

• Develop automation using scripting and programming languages (Python or similar) to reduce manual operational work.
• Create tools that manage and interact with network and system platforms programmatically rather than through manual administration.
• Contribute to CI/CD workflows supporting observability platforms, automation tools, and internal applications.
• Help design scalable pipelines for data ingestion, normalization, and visualization.

Incident Response & Operational Analytics

• Analyze alerts, logs, and telemetry data to identify anomalies, performance issues, and systemic trends.
• Assist in creating datasets and visualizations for post‑incident reviews and operational insights.
• Help refine alerting logic, thresholds, and parsing rules to improve signal quality.

Collaboration & Learning

• Work closely with senior engineers on observability pipelines, automation frameworks, and monitoring architecture.
• Participate in code reviews, design discussions, and technical learning sessions.
• Contribute to internal documentation and knowledge‑sharing resources.

What You’ll Need

Technical Foundation

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Data Science, or a related field.
• Strong experience working in Linux environments and comfort operating within virtualized infrastructure (VMware).
• Experience with automation or scripting using Python or similar languages.
• Foundational networking knowledge (IP addressing, routing basics, VLANs, common protocols); Cisco/Juniper or CCNA/CCNP‑style knowledge preferred.
• Basic understanding of databases (SQL and/or NoSQL) and data modeling.
• Familiarity with Git and collaborative development workflows.

Observability, Data & Web Exposure

• Exposure to monitoring or visualization tools such as Grafana, Splunk, Kibana, Tableau, or Jupyter.
• Interest in or experience with portal or web development (React, Angular, Vue, Flask, Django, Node.js, or similar frameworks).
• Curiosity about telemetry standards, observability pipelines, automation frameworks, and network analytics.

Core Competencies

• Automation mindset with a preference for building tools over manual administration.
• Systems thinking across Linux, virtualization, networking, and applications.
• Analytical skills to interpret data and identify patterns and improvement opportunities.
• Strong collaboration and communication skills with technical peers and stakeholders.

A Bit About Us

Digital Realty brings companies and data together by delivering the full spectrum of data center, colocation, and interconnection solutions. PlatformDIGITAL®, the company’s global data center platform, provides customers with a secure data meeting place and a proven Pervasive Datacenter Architecture (PDx®) solution methodology for powering innovation and efficiently managing Data Gravity challenges. Digital Realty gives its customers access to the connected data communities that matter to them with a global data center footprint of 300+ facilities in 50+ metros across 25+ countries on six continents.
To learn more, visit digitalrealty.com or follow us on LinkedIn and Twitter.

A Bit About Our Team – Technology & Innovation

Our Technology & Innovation team strives to innovate alongside our customers and empower their businesses to thrive. We work closely with customers to develop insights‑based, data‑driven technical solutions and differentiated value propositions across PlatformDIGITAL® worldwide. Our global footprint and deep technical heritage enable us to create and deploy services and solutions at the heart of the digital economy.

Compensation & Benefits

Our published pay ranges reflect the minimum and maximum target for new hire pay for the full‑time position, determined by role, level, and geographic location. Individual pay is based on job‑related skills, experience, and relevant education and training.

Compensation range: $112,000 – $147,000 annually

Benefits include medical, dental, vision, life and AD&D insurance, 401(k) match, disability benefits, wellness and education benefits, employee stock purchase plan, paid time off, holidays, and more.